An intelligent perception diagnosis platform interface interaction method and device for a new type of distribution network

Abstract

The present invention discloses an intelligent perception diagnosis platform interface interaction method and device for a new type of distribution network, including: collecting multi-source heterogeneous data corresponding to the new type of distribution network based on the data transmission interface corresponding to the data access layer and the message middleware corresponding to the data access layer; determining an intelligent perception diagnosis model in the intelligent perception diagnosis platform that matches the multi-source heterogeneous data according to the current matching perception diagnosis service type of the new type of distribution network; analyzing the multi-source heterogeneous data based on the intelligent perception diagnosis model in the service and service layer to obtain the intelligent perception diagnosis data corresponding to the new type of distribution network. It can be seen that implementing the present invention can use the intelligent perception diagnosis model to determine the intelligent perception diagnosis data of the new type of distribution network, so that the risk and fault exclusion function modules of the new type of distribution network are synchronized with the function modules of the new type of distribution network, improving the accuracy and efficiency of risk and fault exclusion of the new type of distribution network and meeting the risk and fault exclusion requirements of the new type of distribution network in various application scenarios.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network control, and in particular to an intelligent perception diagnosis platform interface interaction method and device for a new type of distribution network. Background Art

[0002] In real life, the power system distributes the electric energy received from the transmission network or regional power plants locally or level by level according to voltage through the distribution network. Therefore, the distribution network plays an important role in the electric energy distribution service. In order to ensure the normal operation of the distribution network, it is necessary to use human-based detection equipment to timely eliminate the risks and faults of the distribution network. However, it is found in practice that as the types of new energy access and the application scenarios of the distribution network are increasing, the distribution network has transformed into a new type of distribution network by greatly improving the degree of automation. However, the new type of distribution network still relies on human-based detection equipment for risk and fault elimination, resulting in low accuracy and efficiency of risk and fault elimination of the new type of distribution network, unable to keep up with the upgrade progress of the new type of distribution network, and thus unable to meet the risk and fault elimination requirements of the new type of distribution network in various application scenarios and various energy distributions. It can be seen that how to improve the accuracy and efficiency of risk and fault elimination of the new type of distribution network is particularly important. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an intelligent perception diagnosis platform interface interaction method and device for a new type of distribution network, which can improve the accuracy and efficiency of risk and fault elimination of the new type of distribution network and meet the risk and fault elimination requirements of the new type of distribution network in various application scenarios and various energy distributions.

[0004] To solve the above technical problem, in the first aspect of the present invention, an intelligent perception diagnosis platform interface interaction method for a new type of distribution network is disclosed. The method is applied to an intelligent perception diagnosis platform for a new type of distribution network. The intelligent perception diagnosis platform includes a data access layer, a service and service layer, and an application display layer. The method includes:

[0005] Collecting multi-source heterogeneous data corresponding to the new type of distribution network based on the data transmission interface corresponding to the data access layer and the message middleware corresponding to the data access layer;

[0006] Determining an intelligent perception diagnosis model in the intelligent perception diagnosis platform that matches the multi-source heterogeneous data according to the type of perception diagnosis service currently matched by the new type of distribution network;

[0007] Analyze the multi-source heterogeneous data based on the intelligent perception diagnosis model in the service and business layer to obtain the intelligent perception diagnosis data corresponding to the new type of distribution network. The intelligent perception diagnosis data is used to be output to the application display layer, so that the application display layer can display the intelligent perception diagnosis data to the target personnel corresponding to the new type of distribution network and perform the maintenance operations corresponding to the perception diagnosis service type.

[0008] As an optional implementation manner, in the first aspect of the present invention, the data transmission interface includes a first type of data transmission interface and a second type of data transmission interface. Collecting the multi-source heterogeneous data corresponding to the new type of distribution network based on the data transmission interface corresponding to the data access layer and the message middleware corresponding to the data access layer includes:

[0009] Based on the first type of data transmission interface, the first communication protocol adopted by the first type of data transmission interface, the data access protocol corresponding to the data access layer, and the communication specification corresponding to the data access layer, collect the dynamic data in one or more dynamic monitoring systems corresponding to the new type of distribution network into the data preprocessing system corresponding to the intelligent perception diagnosis platform. Among them, the dynamic monitoring system includes any monitoring system connected to the intelligent perception diagnosis platform; and based on the message middleware between the central database of the intelligent perception diagnosis platform and the data preprocessing system and the producer-consumer mode of the message middleware, extract the dynamic data from the data preprocessing system to the central database according to the data collection time of the dynamic data to obtain the multi-source heterogeneous data corresponding to the new type of distribution network; and / or,

[0010] Based on the second type of data transmission interface, the second communication protocol adopted by the second type of data transmission interface, and the data extension access method matched by the data access layer, extract the static data in one or more static data sources corresponding to the new type of distribution network to the central database of the intelligent perception diagnosis platform to obtain the multi-source heterogeneous data corresponding to the new type of distribution network.

[0011] As an optional implementation manner, in the first aspect of the present invention, the dynamic data includes one or more of the integrated production system data, dispatching automation system data, geographic system data, distribution automation system data, metering automation system data, meteorological environment system data, intelligent perception terminal data, and intelligent gateway data corresponding to the new type of distribution network;

[0012] The static data includes one or more of the asset ledger data, fault operation data, and defect data corresponding to the new type of distribution network.

[0013] As an alternative implementation, in the first aspect of the present invention, analyzing the multi-source heterogeneous data based on the intelligent perception diagnosis model in the service and business layer to obtain the intelligent perception diagnosis data corresponding to the new distribution network includes:

[0014] Determine the target container corresponding to the intelligent perception diagnosis model in the application container engine of the intelligent perception diagnosis platform;

[0015] Based on the unified model service interface between the service and business layer and the application container engine, call the intelligent perception diagnosis model in the target container so that the service and business layer obtains the usage permission of the intelligent perception diagnosis model;

[0016] Based on one or more of the model type of the intelligent perception diagnosis model, the perception diagnosis service type, and the interface type of the unified model service interface, determine whether the multi-source heterogeneous data to be analyzed meets the data twin condition;

[0017] When the judgment result is yes, based on the third type of data transmission interface between the data access layer and the data twin engine corresponding to the new distribution network, input the multi-source heterogeneous data into the data twin engine to obtain the twin data corresponding to the multi-source heterogeneous data output by the data twin engine;

[0018] Update the multi-source heterogeneous data and the twin data as the multi-source heterogeneous data;

[0019] Analyze the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new distribution network;

[0020] Wherein, the intelligent perception diagnosis model includes one or more of an operation perception and risk active defense model, a fault diagnosis and location model, and a complex situation deduction model.

[0021] As an alternative implementation, in the first aspect of the present invention, when the intelligent perception diagnosis model includes the operation perception and risk active defense model, analyzing the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new distribution network includes:

[0022] Analyze the system data corresponding to the primary system of the new distribution network in the multi-source heterogeneous data based on the operation perception and risk active defense model to obtain the operation risk data corresponding to the primary system, wherein the primary system is used for at least one of the power supply, power distribution, power transmission, and power transformation work of the new distribution network;

[0023] Analyze the monitoring data of the secondary system of the new distribution network for the primary system in the operation risk data and the multi-source heterogeneous data based on the operation perception and risk active defense model, and obtain a comparison result of the operation risk data and the monitoring data as the logical verification data corresponding to the secondary system, where the secondary system is used to monitor at least one of the power supply, power distribution, power transmission, and substation work of the primary system;

[0024] Analyze the operation risk data and / or the logical verification data based on the operation perception and risk active defense model to obtain multi-dimensional risk index data corresponding to the new distribution network;

[0025] Determine the weak point information of the new distribution network and the early warning information corresponding to the weak point information based on the multi-dimensional risk index data as the intelligent perception diagnosis data corresponding to the new distribution network.

[0026] As an optional implementation manner, in the first aspect of the present invention, when the intelligent perception diagnosis model includes the fault diagnosis and location model, the analysis of the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new distribution network includes:

[0027] Based on the fault diagnosis and location model, determine whether there is a real-time fault waveform in the operation waveform corresponding to the new distribution network in the multi-source heterogeneous data that matches the fault waveform extraction factor of the fault diagnosis and location model;

[0028] When it is determined that there is the real-time fault waveform in the operation waveform, determine the fault location information corresponding to the real-time fault waveform based on the fault diagnosis and location model;

[0029] Determine the real-time spatio-temporal domain fault and / or the predicted spatio-temporal domain fault of the new distribution network based on the waveform change trend corresponding to the real-time fault waveform and the fault location information as the spatio-temporal domain fault of the new distribution network, where the spatio-temporal domain fault includes the time-domain fault corresponding to the new distribution network and / or the space-domain fault corresponding to the new distribution network;

[0030] Determine at least one of the real-time fault waveform, the fault location information, and the spatio-temporal domain fault as the intelligent perception diagnosis data corresponding to the new distribution network.

[0031] As an optional implementation manner, in the first aspect of the present invention, the determination of the real-time spatio-temporal domain fault and / or the predicted spatio-temporal domain fault of the new distribution network based on the waveform change trend corresponding to the real-time fault waveform and the fault location information as the spatio-temporal domain fault of the new distribution network includes:

[0032] Determine the real-time fault information corresponding to the real-time fault waveform according to the waveform change trend corresponding to the real-time fault waveform;

[0033] Determine the real-time spatio-temporal domain fault of the new distribution network according to the real-time fault information and the fault location information;

[0034] Determine the adjacent waveform in front of the real-time fault waveform according to the waveform change trend as the prediction extraction factor corresponding to the fault type of the real-time fault waveform, wherein the waveform length of the adjacent waveform in front is the determined length that matches the real-time fault waveform;

[0035] Judge whether there is a predicted fault waveform in the operating waveform that matches the prediction extraction factor;

[0036] When it is judged that there is the predicted fault waveform in the operating waveform, judge whether the predicted fault waveform overlaps with the adjacent waveform in front;

[0037] When it is judged that the predicted fault waveform does not overlap with the adjacent waveform in front, determine the predicted fault location information corresponding to the predicted fault waveform based on the fault diagnosis and location model, and determine the predicted spatio-temporal domain fault of the new distribution network according to the predicted waveform change trend corresponding to the predicted fault waveform and the predicted fault location information;

[0038] Determine the real-time spatio-temporal domain fault and / or the predicted spatio-temporal domain fault as the spatio-temporal domain fault corresponding to the new distribution network.

[0039] As an optional implementation manner, in the first aspect of the present invention, when the intelligent perception diagnosis model includes the complex situation deduction model, the analysis of the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new distribution network includes:

[0040] Extract the situation element data of the new distribution network in the multi-source heterogeneous data based on the situation element factor in the complex situation deduction model, and the situation element data includes historical situation element data and / or real-time situation element data;

[0041] Embed the situation element data into the corresponding position in the deduction framework of the complex situation deduction model;

[0042] Analyze the situation element data based on the complex situation deduction model and the deduction framework to obtain the situation deduction data of the new distribution network in the predicted operation scenario as the intelligent perception diagnosis data corresponding to the new distribution network.

[0043] As an alternative implementation, in the first aspect of the present invention, the method further includes:

[0044] After transmitting the intelligent perception diagnosis data from the service and service layer to the application display layer, determining at least one display window in the target application in the application display layer that matches the perception diagnosis service type and the perception diagnosis data display page of the target application;

[0045] According to the intelligent perception diagnosis data, determining the data to be displayed that matches each of the display windows;

[0046] Embedding the data to be displayed that matches each of the display windows into the display window to obtain a visualization window corresponding to the display window;

[0047] Generating a visualization display page of the intelligent perception diagnosis data based on the visualization window corresponding to each of the display windows, where the visualization display page is used to display the intelligent perception diagnosis data to the user of the intelligent perception diagnosis platform;

[0048] Wherein, each of the display windows includes a first display window or a second display window, and the embedding the data to be displayed that matches each of the display windows into the display window to obtain a visualization window corresponding to the display window includes:

[0049] When at least one of the first display windows is included in all the display windows, for each of the first display windows, embedding the data to be displayed that matches the first display window into the corresponding distribution position of the first display window to obtain a visualization window corresponding to the first display window;

[0050] When at least one of the second display windows is included in all the display windows, for each of the second display windows, embedding the geographic map data corresponding to the data to be displayed that matches the second display window in the multi-source heterogeneous data into the geographic layer of the second display window to obtain a base window corresponding to the second display window, and embedding the data to be displayed that matches the second display window into the corresponding distribution position of the base window to obtain a visualization window corresponding to the second display window.

[0051] The second aspect of the present invention discloses an intelligent perception diagnosis platform interface interaction device for a new type of distribution network. The device is applied to an intelligent perception diagnosis platform for a new type of distribution network. The intelligent perception diagnosis platform includes a data access layer, a service and service layer, and an application display layer. The device includes:

[0052] An acquisition module, configured to acquire multi-source heterogeneous data corresponding to the new type of distribution network based on the data transmission interface corresponding to the data access layer and the message middleware corresponding to the data access layer;

[0053] A determination module, configured to determine an intelligent perception and diagnosis model in the intelligent perception and diagnosis platform that matches the multi-source heterogeneous data according to the currently matched perception and diagnosis service type of the new distribution network;

[0054] An analysis module, configured to analyze the multi-source heterogeneous data based on the intelligent perception and diagnosis model in the service and service layer to obtain intelligent perception and diagnosis data corresponding to the new distribution network, where the intelligent perception and diagnosis data is used to be output to the application display layer, so that the application display layer displays the intelligent perception and diagnosis data to the target personnel corresponding to the new distribution network and performs maintenance operations corresponding to the perception and diagnosis service type.

[0055] As an optional implementation manner, in the second aspect of the present invention, the data transmission interface includes a first type of data transmission interface and a second type of data transmission interface. The specific manner in which the acquisition module acquires the multi-source heterogeneous data corresponding to the new distribution network based on the data transmission interface corresponding to the data access layer and the message middleware corresponding to the data access layer includes:

[0056] Based on the first type of data transmission interface, the first communication protocol used by the first type of data transmission interface, the data access protocol corresponding to the data access layer, and the communication specification corresponding to the data access layer, the dynamic data in one or more dynamic monitoring systems corresponding to the new distribution network is acquired into the data preprocessing system corresponding to the intelligent perception and diagnosis platform, where the dynamic monitoring system includes any monitoring system connected to the intelligent perception and diagnosis platform; and based on the message middleware between the central database of the intelligent perception and diagnosis platform and the data preprocessing system and the producer-consumer mode of the message middleware, the dynamic data is extracted from the data preprocessing system to the central database according to the data acquisition time of the dynamic data to obtain the multi-source heterogeneous data corresponding to the new distribution network; and / or,

[0057] Based on the second type of data transmission interface, the second communication protocol used by the second type of data transmission interface, and the data extension access mode matched by the data access layer, the static data in one or more static data sources corresponding to the new distribution network is extracted to the central database of the intelligent perception and diagnosis platform to obtain the multi-source heterogeneous data corresponding to the new distribution network.

[0058] As an optional implementation manner, in the second aspect of the present invention, the dynamic data includes one or more of the integrated production system data, dispatching automation system data, geographic system data, distribution automation system data, metering automation system data, meteorological environment system data, intelligent perception terminal data, and intelligent gateway data corresponding to the new distribution network;

[0059] The static data includes one or more of the asset ledger data, fault operation data, and defect data corresponding to the new distribution network.

[0060] As an alternative implementation, in the second aspect of the present invention, the specific manner in which the analysis module analyzes the multi-source heterogeneous data based on the intelligent perception diagnosis model in the service and service layer to obtain the intelligent perception diagnosis data corresponding to the new distribution network includes:

[0061] Determine the target container corresponding to the intelligent perception diagnosis model in the application container engine of the intelligent perception diagnosis platform;

[0062] Based on the unified model service interface between the service and service layer and the application container engine, call the intelligent perception diagnosis model in the target container so that the service and service layer obtains the usage permission of the intelligent perception diagnosis model;

[0063] Based on one or more of the model type of the intelligent perception diagnosis model, the perception diagnosis service type, and the interface type of the unified model service interface, determine whether the multi-source heterogeneous data to be analyzed meets the data twin conditions;

[0064] When the judgment result is yes, based on the third type of data transmission interface between the data access layer and the data twin engine corresponding to the new distribution network, input the multi-source heterogeneous data into the data twin engine to obtain the twin data corresponding to the multi-source heterogeneous data output by the data twin engine;

[0065] Update the multi-source heterogeneous data and the twin data to the multi-source heterogeneous data;

[0066] Analyze the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new distribution network;

[0067] Among them, the intelligent perception diagnosis model includes one or more of an operation perception and risk active defense model, a fault diagnosis and location model, and a complex situation deduction model.

[0068] As an alternative implementation, in the second aspect of the present invention, when the intelligent perception diagnosis model includes the operation perception and risk active defense model, the specific manner in which the analysis module analyzes the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new distribution network includes:

[0069] Analyze the system data corresponding to the primary system of the new distribution network in the multi-source heterogeneous data based on the operation perception and risk proactive defense model to obtain the operation risk data corresponding to the primary system, where the primary system is used for at least one of the power supply, power distribution, power transmission, and power transformation work of the new distribution network;

[0070] Analyze the operation risk data and the monitoring data of the secondary system of the new distribution network for the primary system in the multi-source heterogeneous data based on the operation perception and risk proactive defense model to obtain the comparison result of the operation risk data and the monitoring data as the logical verification data corresponding to the secondary system, where the secondary system is used to monitor at least one of the power supply, power distribution, power transmission, and power transformation work of the primary system;

[0071] Analyze the operation risk data and / or the logical verification data based on the operation perception and risk proactive defense model to obtain the multi-dimensional risk index data corresponding to the new distribution network;

[0072] According to the multi-dimensional risk index data, determine the weak point information of the new distribution network and the early warning information corresponding to the weak point information as the intelligent perception diagnosis data corresponding to the new distribution network.

[0073] As an optional implementation manner, in the second aspect of the present invention, when the intelligent perception diagnosis model includes the fault diagnosis and location model, the specific manner for the analysis module to analyze the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new distribution network includes:

[0074] Based on the fault diagnosis and location model, determine whether there is a real-time fault waveform in the operation waveform corresponding to the new distribution network in the multi-source heterogeneous data that matches the fault waveform extraction factor of the fault diagnosis and location model;

[0075] When it is determined that there is the real-time fault waveform in the operation waveform, determine the fault location information corresponding to the real-time fault waveform based on the fault diagnosis and location model;

[0076] According to the waveform change trend corresponding to the real-time fault waveform and the fault location information, determine the real-time spatio-temporal domain fault and / or the predicted spatio-temporal domain fault of the new distribution network as the spatio-temporal domain fault of the new distribution network, where the spatio-temporal domain fault includes the time domain fault corresponding to the new distribution network and / or the space domain fault corresponding to the new distribution network;

[0077] Determine at least one of the real-time fault waveform, the fault location information, and the spatio-temporal domain fault as the intelligent perception diagnosis data corresponding to the new distribution network.

[0078] As an alternative implementation manner, in the second aspect of the present invention, the analysis module determines the real-time spatio-temporal domain fault and / or the predicted spatio-temporal domain fault of the new distribution network according to the waveform change trend corresponding to the real-time fault waveform and the fault location information. The specific manners for the spatio-temporal domain fault of the new distribution network include:

[0079] Determine the real-time fault information corresponding to the real-time fault waveform according to the waveform change trend corresponding to the real-time fault waveform;

[0080] Determine the real-time spatio-temporal domain fault of the new distribution network according to the real-time fault information and the fault location information;

[0081] Determine the adjacent waveform in front of the real-time fault waveform according to the waveform change trend, as the prediction extraction factor corresponding to the fault type of the real-time fault waveform, wherein the waveform length of the adjacent waveform in front is the determined length matching the real-time fault waveform;

[0082] Judge whether there is a predicted fault waveform in the operating waveform that matches the prediction extraction factor;

[0083] When it is judged that there is the predicted fault waveform in the operating waveform, judge whether the predicted fault waveform overlaps with the adjacent waveform in front;

[0084] When it is judged that the predicted fault waveform does not overlap with the adjacent waveform in front, determine the predicted fault location information corresponding to the predicted fault waveform based on the fault diagnosis and location model, and determine the predicted spatio-temporal domain fault of the new distribution network according to the predicted waveform change trend corresponding to the predicted fault waveform and the predicted fault location information;

[0085] Determine the real-time spatio-temporal domain fault and / or the predicted spatio-temporal domain fault as the spatio-temporal domain fault corresponding to the new distribution network.

[0086] As an alternative implementation manner, in the second aspect of the present invention, when the intelligent perception diagnosis model includes the complex situation deduction model, the specific manner for the analysis module to analyze the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new distribution network includes:

[0087] Extract the situation element data of the new distribution network in the multi-source heterogeneous data based on the situation element factors in the complex situation deduction model, and the situation element data includes historical situation element data and / or real-time situation element data;

[0088] Embed the situation element data into the corresponding position in the deduction framework of the complex situation deduction model;

[0089] Based on the complex situation deduction model and the deduction framework, analyze the situation element data to obtain the situation deduction data of the new distribution network in the predicted operation scenario, which is used as the intelligent perception diagnosis data corresponding to the new distribution network.

[0090] As an alternative implementation, in the second aspect of the present invention, the determination module is further configured to, after transmitting the intelligent perception diagnosis data from the service and service layer to the application display layer, determine at least one display window in the target application in the application display layer that matches the perception diagnosis service type and the perception diagnosis data display page of the target application, and determine the data to be displayed that matches each display window according to the intelligent perception diagnosis data;

[0091] The device further includes:

[0092] An embedding module, configured to embed the data to be displayed that matches each display window into the display window to obtain a visualization window corresponding to the display window;

[0093] A page generation module, configured to generate a visualization display page of the intelligent perception diagnosis data based on the visualization window corresponding to each display window, and the visualization display page is used to display the intelligent perception diagnosis data to the user of the intelligent perception diagnosis platform.

[0094] Among them, each display window includes a first display window or a second display window, and the specific manner in which the embedding module embeds the data to be displayed that matches each display window into the display window to obtain a visualization window corresponding to the display window includes:

[0095] When at least one of the first display windows is included in all the display windows, for each first display window, embed the data to be displayed that matches the first display window into the corresponding distribution position of the first display window to obtain a visualization window corresponding to the first display window;

[0096] When at least one of the second display windows is included in all the display windows, for each second display window, embed the geographic map data corresponding to the data to be displayed that matches the second display window into the geographic layer of the second display window to obtain a base window corresponding to the second display window, and embed the data to be displayed that matches the second display window into the corresponding distribution position of the base window to obtain a visualization window corresponding to the second display window.

[0097] The third aspect of the present invention discloses another intelligent perception diagnosis platform interface interaction device for a new type of distribution network. The device includes:

[0098] A memory storing executable program code;

[0099] A processor coupled to the memory;

[0100] The processor calls the executable program code stored in the memory and executes the intelligent perception diagnosis platform interface interaction method for the new type of distribution network disclosed in the first aspect of the present invention.

[0101] The fourth aspect of the present invention discloses a computer storage medium. The computer storage medium stores computer instructions, which are used to execute the intelligent perception diagnosis platform interface interaction method for the new type of distribution network disclosed in the first aspect of the present invention when the computer instructions are called.

[0102] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0103] In the embodiments of the present invention, based on the data transmission interface corresponding to the data access layer and the message middleware corresponding to the data access layer, multi-source heterogeneous data corresponding to the new type of distribution network is collected; according to the current matching perception diagnosis service type of the new type of distribution network, an intelligent perception diagnosis model in the intelligent perception diagnosis platform that matches the multi-source heterogeneous data is determined; the multi-source heterogeneous data is analyzed based on the intelligent perception diagnosis model in the service and service layer to obtain the intelligent perception diagnosis data corresponding to the new type of distribution network. It can be seen that implementing the present invention can analyze the multi-source heterogeneous data of the new type of distribution network by using the intelligent perception diagnosis model in the intelligent perception diagnosis platform to obtain the intelligent perception diagnosis data of the new type of distribution network, so as to synchronously upgrade the risk and fault troubleshooting function modules of the new type of distribution network with the function modules of the new type of distribution network, improve the accuracy and efficiency of risk and fault troubleshooting of the new type of distribution network, and meet the risk and fault troubleshooting requirements of the new type of distribution network in various application scenarios and various energy distributions. BRIEF DESCRIPTION OF THE DRAWINGS

[0104] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0105] Figure 1 It is a schematic flowchart of an intelligent perception diagnosis platform interface interaction method for a new type of distribution network disclosed in the embodiments of the present invention;

[0106] Figure 2It is a schematic flowchart of another intelligent perception diagnosis platform interface interaction method for a new type of distribution network disclosed in an embodiment of the present invention;

[0107] Figure 3 It is a schematic structural diagram of an intelligent perception diagnosis platform interface interaction device for a new type of distribution network disclosed in an embodiment of the present invention;

[0108] Figure 4 It is a schematic structural diagram of another intelligent perception diagnosis platform interface interaction device for a new type of distribution network disclosed in an embodiment of the present invention;

[0109] Figure 5 It is a schematic structural diagram of yet another intelligent perception diagnosis platform interface interaction device for a new type of distribution network disclosed in an embodiment of the present invention. Detailed implementation manners

[0110] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0111] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product or terminal that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or terminals.

[0112] Referring to "embodiment" herein means that a specific feature, structure or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The phrase appears in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0113] The present invention discloses an intelligent perception diagnosis platform interface interaction method and device for a new type of distribution network, which can analyze multi-source heterogeneous data of the new type of distribution network by using an intelligent perception diagnosis model in the intelligent perception diagnosis platform to obtain intelligent perception diagnosis data of the new type of distribution network, so that the risk and fault elimination function modules of the new type of distribution network and the function modules of the new type of distribution network are synchronously upgraded, improving the accuracy and efficiency of risk and fault elimination of the new type of distribution network and meeting the risk and fault elimination requirements of the new type of distribution network in various application scenarios and various energy distributions. The following will be described in detail respectively.

[0114] Embodiment 1

[0115] Please refer to Figure 1 , Figure 1 which is a schematic flowchart of an intelligent perception diagnosis platform interface interaction method for a new type of distribution network disclosed in an embodiment of the present invention. Among them, Figure 1 the described intelligent perception diagnosis platform interface interaction method for the new type of distribution network can be applied to the intelligent perception diagnosis platform of the new type of distribution network. This intelligent perception diagnosis platform can be a cloud system (such as a "cloud brain") or a local system, which is not limited in the embodiments of the present invention. This intelligent perception diagnosis platform can include a data access layer, a service and application layer, and an application display layer. As Figure 1 shown, the intelligent perception diagnosis platform interface interaction method for the new type of distribution network can include the following operations:

[0116] 101. Collect multi-source heterogeneous data corresponding to the new type of distribution network based on the data transmission interface corresponding to the data access layer and the message middleware corresponding to the data access layer.

[0117] In the embodiments of the present invention, optionally, the new type of distribution network can be a distribution network accessing any new type of energy (such as renewable energy) and any new type of load (such as electric vehicles), or a distribution network accessing any new type of control system.

[0118] In the embodiments of the present invention, optionally, the multi-source heterogeneous data can include dynamic data and / or static data. The dynamic data can include one or more of the integrated production system data, dispatching automation system data, geographical system data, distribution automation system data, metering automation system data, meteorological environment system data, intelligent perception terminal data, and intelligent gateway data corresponding to the new type of distribution network; the static data can include one or more of the asset ledger data, fault operation data, and defect data corresponding to the new type of distribution network.

[0119] As an optional implementation manner, the data transmission interface can include a first type of data transmission interface and a second type of data transmission interface. Collecting multi-source heterogeneous data corresponding to the new type of distribution network based on the data transmission interface corresponding to the data access layer and the message middleware corresponding to the data access layer can include:

[0120] Based on the first type of data transmission interface, the first communication protocol adopted by the first type of data transmission interface, the data access protocol corresponding to the data access layer, and the communication specification corresponding to the data access layer, the dynamic data in one or more dynamic monitoring systems corresponding to the new distribution network is collected into the data preprocessing system corresponding to the intelligent perception and diagnosis platform, where the dynamic monitoring system includes any monitoring system connected to the intelligent perception and diagnosis platform; and based on the message middleware between the central database of the intelligent perception and diagnosis platform and the data preprocessing system and the producer-consumer mode of the message middleware, the dynamic data is extracted from the data preprocessing system to the central database according to the data collection time of the dynamic data, obtaining the multi-source heterogeneous data corresponding to the new distribution network; and / or,

[0121] Based on the second type of data transmission interface, the second communication protocol adopted by the second type of data transmission interface, and the data extended access method matched by the data access layer, the static data in one or more static data sources corresponding to the new distribution network is extracted to the central database of the intelligent perception and diagnosis platform, obtaining the multi-source heterogeneous data corresponding to the new distribution network.

[0122] It can be seen that implementing this optional implementation method collects dynamic data and static data through the data transmission interface and the message middleware, thereby improving the integration and collection efficiency of the dynamic data and static data corresponding to the intelligent perception and diagnosis platform, and further improving the comprehensiveness and efficiency of the data analysis of the new distribution network, which is beneficial to improving the efficiency and accuracy of the risk and fault detection of the new distribution network.

[0123] In this optional embodiment, optionally, all dynamic monitoring systems may include one or more of an integrated production system corresponding to a new type of distribution network, a dispatching automation system, a geographic system, a distribution automation system, a metering automation system, a power marketing system, a meteorological environment system, intelligent sensing terminals, and intelligent gateways; all static data sources may include one or more of an asset ledger database, a fault operation database, and a defect database corresponding to the new type of distribution network; the first type of data transmission interface and / or the second type of data transmission interface may include a Socket (socket) interface and / or a Webservice (network service) interface. Among them, the first communication protocol adopted by the Socket interface includes a TCP (Transfer Control Protocol) communication protocol, and the listening port corresponding to the Socket interface may be port 8099. The first communication protocol adopted by the Webservice interface includes an HTTP communication protocol; the data access protocol may include an MQTT (Message Queuing Telemetry Transport) protocol; the communication specification may include an IEC101 communication specification and / or an IEC104 communication specification; the data middleware may include kafka data middleware; the data extension access method may include one or more of a kafka extension access method, an ETL (Extract-Transform-Load) extension access method, a Webservice extension access method, and a file extension access method. It can be seen that this can achieve the unified management of distribution data corresponding to multiple systems and improve the comprehensiveness, accuracy, and efficiency of multi-source heterogeneous data collection.

[0124] 102. Determine an intelligent sensing and diagnosis model in the intelligent sensing and diagnosis platform that matches the multi-source heterogeneous data according to the currently matched sensing and diagnosis service type of the new type of distribution network.

[0125] In an embodiment of the present invention, optionally, the perception diagnosis service type may include one or more of operation perception and risk proactive defense service, fault diagnosis and location service, and complex situation deduction service; the intelligent perception diagnosis model may include one or more of operation perception and risk proactive defense model, fault diagnosis and location model, and complex situation deduction model; further optionally, the operation perception and risk proactive defense model may be used to perceive the operation risk of the new type of distribution network and perform proactive defense against the operation risk, the fault diagnosis and location model may be used to diagnose the operation faults of the new type of distribution network and determine the location information of the operation faults, and may also be used to detect potential operation faults of the new type of distribution network and reduce the operation risk of the new type of distribution network, and the complex situation deduction model may be used in the situation restoration deduction of the operation state (such as operation accidents) that has occurred in the new type of distribution network, and may also be used in the situation simulation deduction of the new type of distribution network in future application scenarios. It can be seen that in this way, a variety of intelligent perception diagnosis models can be used to analyze multi-source heterogeneous data, thereby improving the diversity and comprehensiveness of the perception diagnosis results of the intelligent perception diagnosis models, meeting the risk and troubleshooting requirements of the new type of distribution network in a variety of application scenarios and various energy distributions, and improving the safety and reliability of the new type of distribution network.

[0126] In an embodiment of the present invention, optionally, the intelligent perception diagnosis model is an artificial intelligence reasoning model based on fuzzy logic, that is, the intelligent perception diagnosis model performs fuzzy reasoning operations on data objects with a fuzzy type of variable in multi-source heterogeneous data to obtain intelligent perception diagnosis data; further optionally, the reasoning method matched by the fuzzy reasoning operation is an uncertainty concept judgment method, and the reasoning basis matched by the fuzzy reasoning operation includes fuzzy sets and fuzzy rules. This can strengthen the fuzzy reasoning ability of the intelligent perception diagnosis model, make the reasoning logic of the intelligent perception diagnosis model closer to the human thinking logic, and further improve the intelligence of the data processing method of the intelligent perception diagnosis model.

[0127] In an embodiment of the present invention, optionally, the construction language of the intelligent perception diagnosis model may be any language, such as Python language, and the intelligent perception diagnosis model may be trained in any learning framework, such as TensorFlow learning framework, Caffe learning framework, MXNET learning framework, etc.

[0128] 103. Analyze multi-source heterogeneous data based on the intelligent perception diagnosis model in the service and service layer to obtain the intelligent perception diagnosis data corresponding to the new type of distribution network. The intelligent perception diagnosis data is used to be output to the application display layer, so that the application display layer can display the intelligent perception diagnosis data to the target personnel corresponding to the new type of distribution network and perform the maintenance operation corresponding to the perception diagnosis service type.

[0129] As an alternative implementation, multi-source heterogeneous data is analyzed based on an intelligent perception diagnosis model in the business and service layer to obtain intelligent perception diagnosis data corresponding to the new type of distribution network, which may include:

[0130] Determine the target container corresponding to the intelligent perception diagnosis model in the application container engine of the intelligent perception diagnosis platform;

[0131] Based on the unified model service interface between the business and service layer and the application container engine, call the intelligent perception diagnosis model in the target container to enable the business and service layer to obtain the usage permission of the intelligent perception diagnosis model;

[0132] Based on one or more of the model type of the intelligent perception diagnosis model, the perception diagnosis service type, and the interface type of the unified model service interface, determine whether the multi-source heterogeneous data to be analyzed meets the data twin condition;

[0133] When the judgment result is yes, based on the third type of data transmission interface between the data access layer and the data twin engine corresponding to the new type of distribution network, input the multi-source heterogeneous data into the data twin engine to obtain the twin data corresponding to the multi-source heterogeneous data output by the data twin engine;

[0134] Update the multi-source heterogeneous data and the twin data to the multi-source heterogeneous data;

[0135] Analyze the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain intelligent perception diagnosis data corresponding to the new type of distribution network;

[0136] Among them, the intelligent perception diagnosis model includes one or more of an operation perception and risk active defense model, a fault diagnosis and location model, and a complex situation deduction model.

[0137] In this alternative implementation, optionally, the third type of data transmission interface may include a Restful interface.

[0138] It can be seen that implementing this alternative implementation can call the intelligent perception diagnosis models in multiple containers of the application container engine through the unified model service interface, which is beneficial to improving the efficiency and accuracy of model calling, and is beneficial to realizing the unified management and control of the intelligent perception diagnosis model, and improving the efficiency and reliability of model management and control.

[0139] In this alternative implementation, optionally, when the intelligent perception diagnosis model includes an operation perception and risk active defense model, analyzing the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain intelligent perception diagnosis data corresponding to the new type of distribution network may include:

[0140] Analyze the system data corresponding to the primary system of the new distribution network in multi-source heterogeneous data based on the operation perception and risk active defense model to obtain the operation risk data corresponding to the primary system, where the primary system is used for at least one of the power supply, power distribution, power transmission, and power transformation work of the new distribution network;

[0141] Analyze the monitoring data of the secondary system of the new distribution network for the primary system in the operation risk data and multi-source heterogeneous data based on the operation perception and risk active defense model to obtain the comparison result of the operation risk data and the monitoring data as the logical verification data corresponding to the secondary system, where the secondary system is used to monitor at least one of the power supply, power distribution, power transmission, and power transformation work of the primary system;

[0142] Analyze the operation risk data and / or the logical verification data based on the operation perception and risk active defense model to obtain the multi-dimensional risk index data corresponding to the new distribution network;

[0143] According to the multi-dimensional risk index data, determine the weak point information of the new distribution network and the early warning information corresponding to the weak point information as the intelligent perception diagnosis data corresponding to the new distribution network.

[0144] It can be seen that implementing this optional implementation method can detect the operation risk data of the primary system of the new distribution network and the logical verification data of the secondary system of the new distribution network, thereby obtaining multi-dimensional risk index data and determining the weak point information of the new distribution network, improving the comprehensiveness and accuracy of the perception of the risk data of the new distribution network, reducing the operation risk caused by the inability of the secondary system to accurately monitor the operation data of the primary system, and improving the safety and reliability of the new distribution network.

[0145] In this optional implementation method, optionally, when the intelligent perception diagnosis model includes a fault diagnosis and location model, analyzing the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new distribution network may include:

[0146] Based on the fault diagnosis and location model, judge whether there is a real-time fault waveform in the operation waveform corresponding to the new distribution network in the multi-source heterogeneous data that matches the fault waveform extraction factor of the fault diagnosis and location model;

[0147] When it is judged that there is a real-time fault waveform in the operation waveform, determine the fault location information corresponding to the real-time fault waveform based on the fault diagnosis and location model;

[0148] According to the waveform change trend corresponding to the real-time fault waveform and the fault location information, determine the real-time spatio-temporal domain fault and / or the predicted spatio-temporal domain fault of the new distribution network as the spatio-temporal domain fault of the new distribution network, and the spatio-temporal domain fault may include the time-domain fault corresponding to the new distribution network and / or the space-domain fault corresponding to the new distribution network;

[0149] Determine at least one of the real-time fault waveform, fault location information, and spatio-temporal domain fault as the intelligent perception diagnosis data corresponding to the new type of distribution network.

[0150] It can be seen that implementing this optional implementation manner can identify and locate the abnormal operation waveform of the new type of distribution network, and thus determine the spatio-temporal domain fault of the new type of distribution network, which is beneficial to improving the comprehensiveness of the fault diagnosis of the new type of distribution network, and thus beneficial for the management personnel to eliminate faults in a timely manner according to the fault information, and improve the safety and reliability of the new type of distribution network.

[0151] In this optional implementation manner, further optionally, determine the real-time spatio-temporal domain fault and / or predicted spatio-temporal domain fault of the new type of distribution network according to the waveform change trend corresponding to the real-time fault waveform and the fault location information, and use it as the spatio-temporal domain fault of the new type of distribution network, which may include:

[0152] Determine the real-time fault information corresponding to the real-time fault waveform according to the waveform change trend corresponding to the real-time fault waveform;

[0153] Determine the real-time spatio-temporal domain fault of the new type of distribution network according to the real-time fault information and the fault location information;

[0154] Determine the adjacent waveform in front of the real-time fault waveform according to the waveform change trend, and use it as the predicted extraction factor corresponding to the fault type of the real-time fault waveform, where the waveform length of the adjacent waveform in front is the length determined to match the real-time fault waveform;

[0155] Judge whether there is a predicted fault waveform in the running waveform that matches the predicted extraction factor;

[0156] When it is judged that there is a predicted fault waveform in the running waveform, judge whether the predicted fault waveform overlaps with the adjacent waveform in front;

[0157] When it is judged that the predicted fault waveform does not overlap with the adjacent waveform in front, determine the predicted fault location information corresponding to the predicted fault waveform based on the fault diagnosis and location model, and determine the predicted spatio-temporal domain fault of the new type of distribution network according to the predicted waveform change trend and the predicted fault location information corresponding to the predicted fault waveform;

[0158] Determine the real-time spatio-temporal domain fault and / or predicted spatio-temporal domain fault as the spatio-temporal domain fault corresponding to the new type of distribution network.

[0159] It can be seen that implementing this optional implementation manner can also predict the possible faults of the new type of distribution network according to the waveform change trend of the existing fault waveform, so that the management personnel can adjust the working parameters of the new type of distribution network in a timely manner and eliminate potential fault hazards, reduce the losses of the distribution network caused by potential fault hazards, and further improve the safety and reliability of the new type of distribution network.

[0160] In this optional implementation manner, optionally, when the intelligent perception diagnosis model includes a complex situation deduction model, analyzing multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain intelligent perception diagnosis data corresponding to the new distribution network may include:

[0161] Extracting situation element data of the new distribution network in the multi-source heterogeneous data based on the situation element factors in the complex situation deduction model, and the situation element data may include historical situation element data and / or real-time situation element data;

[0162] Embedding the situation element data into the corresponding position in the deduction framework of the complex situation deduction model;

[0163] Analyzing the situation element data based on the complex situation deduction model and the deduction framework to obtain situation deduction data of the new distribution network in the predicted operation scenario, and using it as the intelligent perception diagnosis data corresponding to the new distribution network.

[0164] It can be seen that implementing this optional implementation manner can generate simulation service data according to the existing situation element data, and use this to predict the situation deduction data of the new distribution network in the future operation scenario, thereby helping to improve the development success rate of the new distribution network in unknown operation scenarios, reduce the trial-and-error cost during the development of the new distribution network, and is conducive to enriching the functions of the intelligent perception diagnosis platform.

[0165] It can be seen that implementing the embodiments of the present invention can analyze the multi-source heterogeneous data of the new distribution network using the intelligent perception diagnosis model in the intelligent perception diagnosis platform to obtain the intelligent perception diagnosis data of the new distribution network, so that the risk and fault troubleshooting function modules of the new distribution network are synchronized with the function modules of the new distribution network, improving the accuracy and efficiency of risk and fault troubleshooting of the new distribution network, and meeting the risk and fault troubleshooting requirements of the new distribution network in various application scenarios and various energy distributions.

[0166] In an optional embodiment, after collecting dynamic data in one or more dynamic monitoring systems corresponding to the new distribution network to the data preprocessing system corresponding to the intelligent perception diagnosis platform based on the first type of data transmission interface, the first communication protocol used by the first type of data transmission interface, the data access protocol corresponding to the data access layer, and the communication specification corresponding to the data access layer, or, after extracting static data in one or more static data sources corresponding to the new distribution network to the central database of the intelligent perception diagnosis platform based on the second type of data transmission interface, the second communication protocol used by the second type of data transmission interface, and the data expansion access method matched by the data access layer to obtain multi-source heterogeneous data corresponding to the new distribution network, the method may further include:

[0167] Based on the data collection results, call the return string corresponding to the target data transmission interface adopted during the data collection process;

[0168] Transmit the return string to the target data source end so that the target data source end executes the command corresponding to the return string;

[0169] Among them, the target data transmission interface includes a first type of data transmission interface or a second type of data transmission interface. When the target data transmission interface is the first type of data transmission interface, the target data source end includes a dynamic monitoring system. When the target data transmission interface is the second type of data transmission interface, the target data source end includes a static data source.

[0170] In this optional embodiment, optionally, the return string may include a resultcode status code. For example, when the return string is the resultcode status code, if the return string shows 602, it means that the dynamic data processing corresponding to the target data source end fails.

[0171] In another optional embodiment, before analyzing the multi-source heterogeneous data based on the intelligent perception diagnosis model in the business and service layer to obtain the intelligent perception diagnosis data corresponding to the new type of distribution network, the method may further include:

[0172] Determine the data type corresponding to each type of business data in the multi-source heterogeneous data, and determine the data extraction method matching the business data according to the data type corresponding to each type of business data;

[0173] Based on the data extraction method matching the business data, extract the core business data in the business data;

[0174] Based on the multi-source heterogeneous data fusion technology, fuse all the core business data to obtain the multi-source heterogeneous fusion data corresponding to the new type of distribution network;

[0175] Update the multi-source heterogeneous fusion data to multi-source heterogeneous data, and trigger the execution of the operation of analyzing the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new type of distribution network.

[0176] It can be seen that implementing this optional embodiment can fuse the core data in the multi-source heterogeneous data, improve the integration degree and comprehensiveness of the data, thereby improving the accuracy and efficiency of risk and fault troubleshooting of the new type of distribution network.

[0177] In this optional embodiment, optionally, the multi-source heterogeneous fusion data may include one or more of the operation data, load data, meteorological data, equipment parameters, equipment measurement data, and grid topology data corresponding to the new type of distribution network.

[0178] In this optional embodiment, as an alternative implementation, before fusing all core business data based on the multi-source heterogeneous data fusion technology to obtain the multi-source heterogeneous fusion data corresponding to the new distribution network, the method may further include:

[0179] For each type of core business data, determine whether the core business data matches the target data structure corresponding to the data processing method of the intelligent perception diagnosis model. When it is determined that the core business data does not match the target data structure, based on the data conversion unit, perform a data structure conversion operation on the core business data, and update the core business data after the data structure conversion as the core business data.

[0180] It can be seen that implementing this alternative implementation can convert the data structure of the core business data into the target data structure corresponding to the processing method of the intelligent perception diagnosis model, reducing the situation where the core business data cannot be fused or the intelligent perception diagnosis model cannot process multi-source heterogeneous data due to data structure mismatch.

[0181] In this optional embodiment, as another alternative implementation, fusing all core business data based on the multi-source heterogeneous data fusion technology to obtain the multi-source heterogeneous fusion data corresponding to the new distribution network may include:

[0182] Based on the multi-source heterogeneous data fusion technology, determine the fusion level corresponding to each type of core business data in the data fusion framework corresponding to the intelligent perception diagnosis model;

[0183] Based on the fusion level corresponding to each type of core business data, embed the core business data into the data fusion framework to obtain the multi-source heterogeneous fusion data corresponding to the new distribution network.

[0184] It can be seen that implementing this alternative implementation can fuse core business data based on the data fusion framework, improving the efficiency and accuracy of core business data fusion.

[0185] In this alternative implementation, optionally, after embedding the core business data into the data fusion framework based on the fusion level corresponding to each type of core business data to obtain the multi-source heterogeneous fusion data corresponding to the new distribution network and before updating the multi-source heterogeneous fusion data as multi-source heterogeneous data, the method may further include:

[0186] Determine one or more end core business data with the lowest fusion level in the data fusion framework;

[0187] Based on the multi-source heterogeneous data fusion technology, perform data abstraction processing on each end core business data in the data fusion framework to obtain the feature abstraction data corresponding to each end core business data;

[0188] Embed the feature abstract data corresponding to each end-core business data into the higher-level fusion level of the fusion level corresponding to the end-core business data in the data fusion framework;

[0189] Determine whether the higher-level fusion level is the highest level in the data fusion framework;

[0190] When it is determined that the higher-level fusion level is not the highest level, determine whether there is core business data in the higher-level fusion level;

[0191] When it is determined that there is core business data in the higher-level fusion level, update the core business data in the higher-level fusion level and the feature abstract data corresponding to all end-core business data to end-core business data, and repeat the above operation of performing data abstraction processing on each end-core business data in the data fusion framework based on the multi-source heterogeneous data fusion technology to obtain the feature abstract data corresponding to each end-core business data;

[0192] When it is determined that there is no core business data in the higher-level fusion level, update the feature abstract data corresponding to all end-core business data to end-core business data, and repeat the above operation of performing data abstraction processing on each end-core business data in the data fusion framework based on the multi-source heterogeneous data fusion technology to obtain the feature abstract data corresponding to each end-core business data;

[0193] When it is determined that the higher-level fusion level is the highest level, update all the core business data and feature abstract data currently included in the data fusion framework to multi-source heterogeneous fusion data.

[0194] It can be seen that implementing this optional implementation manner can also perform feature abstraction processing on the core business data in the fusion framework in the order from low to high in levels, realize the fusion of core business data, and improve the accuracy and reliability of the core business data fusion.

[0195] In this optional embodiment, as another optional implementation manner, after updating the multi-source heterogeneous fusion data to multi-source heterogeneous data, the method may further include:

[0196] Input the multi-source heterogeneous data into the data twin engine corresponding to the new type of distribution network to obtain the simulation prediction data corresponding to the multi-source heterogeneous data output by the data twin engine;

[0197] Determine the simulation prediction data and the multi-source heterogeneous data as new multi-source heterogeneous data.

[0198] It can be seen that implementing this optional implementation method can also use the digital twin engine to generate simulation prediction data based on multi-source heterogeneous data, which is beneficial to expanding the amount of data that the intelligent perception diagnosis platform can analyze, and is beneficial to predicting the operation data of the new distribution network in future operation scenarios, so as to reduce the potential operation risks and faults of the new distribution network.

[0199] Embodiment 2

[0200] Please refer to Figure 2 , Figure 2 which is a schematic flowchart of another intelligent perception diagnosis platform interface interaction method for a new distribution network disclosed in an embodiment of the present invention. Among them, Figure 2 The described intelligent perception diagnosis platform interface interaction method for the new distribution network can be applied to the intelligent perception diagnosis platform of the new distribution network. The intelligent perception diagnosis platform can be a cloud system (such as the "cloud brain") or a local system, which is not limited in the embodiments of the present invention. The intelligent perception diagnosis platform can include a data access layer, a service and service layer, and an application display layer. As Figure 2 shown, the intelligent perception diagnosis platform interface interaction method for the new distribution network can include the following operations:

[0201] 201. Collect multi-source heterogeneous data corresponding to the new distribution network based on the data transmission interface corresponding to the data access layer and the message middleware corresponding to the data access layer.

[0202] 202. Determine the intelligent perception diagnosis model in the intelligent perception diagnosis platform that matches the multi-source heterogeneous data according to the perception diagnosis service type currently matched by the new distribution network.

[0203] 203. Analyze the multi-source heterogeneous data based on the intelligent perception diagnosis model in the service and service layer to obtain the intelligent perception diagnosis data corresponding to the new distribution network. The intelligent perception diagnosis data is used to be output to the application display layer so that the application display layer can display the intelligent perception diagnosis data to the target personnel corresponding to the new distribution network and perform the maintenance operation corresponding to the perception diagnosis service type.

[0204] 204. After transmitting the intelligent perception diagnosis data from the service and service layer to the application display layer, determine at least one display window in the target application in the application display layer that matches the perception diagnosis service type and the perception diagnosis data display page of the target application.

[0205] In an embodiment of the present invention, optionally, the target application may include one or more of a running perception and risk proactive defense application, a fault diagnosis and location application, and a complex situation deduction application. Each display window may include a first display window or a second display window. Among them, the first display window may be used to display intelligent perception diagnosis data, and the second display window may be used to display intelligent perception diagnosis data and associated data of the intelligent perception diagnosis data (such as geographical map data corresponding to the intelligent perception diagnosis data). The data forms of the data displayed in each display window may be any form such as text, charts, videos, etc., which are not limited in the embodiments of the present invention.

[0206] As an optional implementation manner, determining at least one display window in the target application and the perception diagnosis data display page of the target application that matches the perception diagnosis service type in the application display layer may include:

[0207] Determine the target application in the application display layer that matches the perception diagnosis service type according to the perception diagnosis service type;

[0208] According to the viewing request corresponding to the intelligent perception diagnosis data, determine at least one display window in the perception diagnosis data display page of the target application, or determine at least one default display window corresponding to the target application as the display window in the perception diagnosis data display page of the target application, or determine at least one display window in the perception diagnosis data display page of the target application according to the perception diagnosis service type and / or the target data type of the intelligent perception diagnosis data.

[0209] It can be seen that implementing this optional implementation manner can determine the display window in multiple ways, improving the diversity and flexibility of the display window determination method, and thus facilitating improving the matching degree between the determined display window and the actual data display requirements.

[0210] 205. Determine the data to be displayed that matches each display window according to the intelligent perception diagnosis data.

[0211] 206. Embed the data to be displayed that matches each display window into the display window to obtain the visualization window corresponding to the display window.

[0212] As an optional implementation manner, embedding the data to be displayed that matches each display window into the display window to obtain the visualization window corresponding to the display window may include:

[0213] When at least one first display window is included in all display windows, for each first display window, embed the data to be displayed that matches the first display window into the corresponding distribution position of the first display window to obtain the visualization window corresponding to the first display window;

[0214] When there is at least one second display window among all display windows, for each second display window, embed the geographic map data corresponding to the data to be displayed matched by the second display window in the multi-source heterogeneous data into the geographic layer of the second display window to obtain the base window corresponding to the second display window, and embed the data to be displayed matched by the second display window into the corresponding distribution position of the base window to obtain the visualization window corresponding to the second display window.

[0215] It can be seen that implementing this optional implementation method can adopt different visualization methods for different data types, which is beneficial to further improving the visualization degree of data content and enhancing the user experience.

[0216] 207. Generate a visualization display page for the intelligent perception diagnosis data based on the visualization window corresponding to each display window. The visualization display page is used to display the intelligent perception diagnosis data to the users of the intelligent perception diagnosis platform.

[0217] In the embodiments of the present invention, for other descriptions of steps 201 - 203, please refer to the detailed descriptions of steps 101 - 103 in Embodiment 1, and the embodiments of the present invention will not be elaborated herein.

[0218] It can be seen that implementing the embodiments of the present invention can analyze the multi-source heterogeneous data of the new type of distribution network by using the intelligent perception diagnosis model in the intelligent perception diagnosis platform to obtain the intelligent perception diagnosis data of the new type of distribution network, so as to synchronously upgrade the risk and fault elimination function modules of the new type of distribution network with the function modules of the new type of distribution network, improve the accuracy and efficiency of risk and fault elimination of the new type of distribution network, meet the risk and fault elimination requirements of the new type of distribution network in various application scenarios and various energy distributions, and moreover, can generate a visualization page according to the intelligent perception diagnosis data, thereby facilitating the management personnel to view the intelligent perception diagnosis data and the richness and visualization degree of the data content viewed.

[0219] It should be noted that the intelligent perception diagnosis platform interface interaction method of the new type of distribution network described in Embodiment 1 and Embodiment 2 can also be applied to any existing traditional distribution network.

[0220] In an optional embodiment, after determining the data to be displayed matched by each display window according to the intelligent perception diagnosis data, the method may further include:

[0221] Judge whether the number of all display windows is greater than the preset threshold number;

[0222] When the judgment result is yes, determine the window weight matched by the display window according to the data status and data type of the data to be displayed matched by each display window;

[0223] Arrange all display windows in descending order of window weights to obtain a display window sequence;

[0224] Update the first preset threshold number of target display windows in the display window sequence to display windows, and trigger the operation of embedding the data to be displayed matched by each display window into the display window to obtain the visual window corresponding to the display window.

[0225] It can be seen that implementing this optional embodiment can also preferentially select data with higher weights when there is a large amount of data to be displayed, improving the rationality of intelligent perception diagnosis data display, so that the digital resources and human resources corresponding to the new distribution network are preferentially allocated to the data content with higher weights of the new distribution network.

[0226] In this optional embodiment, as an optional implementation manner, determining the window weight matched by each display window according to the data status and data type of the data to be displayed matched by each display window may include:

[0227] Determine the first weight of the display window according to the data status of the data to be displayed matched by each display window, where the data status includes an abnormal status or a normal status, and the first weight corresponding to the abnormal status is greater than the first weight corresponding to the normal status;

[0228] Determine the second weight of the display window according to the data type of the data to be displayed matched by each display window;

[0229] Determine the window weight matched by each display window according to the first weight and / or the second weight of each display window.

[0230] It can be seen that implementing this optional embodiment can determine the first weight and the second weight of the display window respectively according to the data status and data type of the data to be displayed matched by the display window, and thereby determine the weight of the display window, improving the accuracy and reliability of calculating the window weight. Moreover, the weight corresponding to the abnormal data status is higher than the weight corresponding to the normal data status, which is beneficial to preferentially display the intelligent perception diagnosis data with abnormal data, so that the management personnel can timely discover and eliminate relevant risks and faults, improving the safety and reliability of the new distribution network.

[0231] Embodiment III

[0232] Please refer to Figure 3 , Figure 3 which is a schematic structural diagram of an interface interaction device of an intelligent perception diagnosis platform for a new distribution network disclosed in an embodiment of the present invention. Among them, Figure 3The described intelligent perception diagnosis platform interface interaction device for the new distribution network can be applied to the intelligent perception diagnosis platform of the new distribution network. The intelligent perception diagnosis platform can be a cloud system (such as a "cloud brain") or a local system, which is not limited in the embodiments of the present invention. The intelligent perception diagnosis platform can include a data access layer, a service and application layer, and an application display layer. As Figure 3 shown, the intelligent perception diagnosis platform interface interaction device for the new distribution network can include:

[0233] An acquisition module 301, configured to acquire multi-source heterogeneous data corresponding to the new distribution network based on the data transmission interface corresponding to the data access layer and the message middleware corresponding to the data access layer;

[0234] A determination module 302, configured to determine an intelligent perception diagnosis model in the intelligent perception diagnosis platform that matches the multi-source heterogeneous data according to the currently matched perception diagnosis service type of the new distribution network;

[0235] An analysis module 303, configured to analyze the multi-source heterogeneous data based on the intelligent perception diagnosis model in the service and application layer to obtain intelligent perception diagnosis data corresponding to the new distribution network. The intelligent perception diagnosis data is used to be output to the application display layer, so that the application display layer can display the intelligent perception diagnosis data to the target personnel corresponding to the new distribution network and perform maintenance operations corresponding to the perception diagnosis service type.

[0236] It can be seen that implementing Figure 3 the described device can analyze the multi-source heterogeneous data of the new distribution network by using the intelligent perception diagnosis model in the intelligent perception diagnosis platform to obtain the intelligent perception diagnosis data of the new distribution network, so as to synchronously upgrade the risk and fault troubleshooting function modules of the new distribution network with the function modules of the new distribution network, improve the accuracy and efficiency of risk and fault troubleshooting of the new distribution network, and meet the risk and fault troubleshooting requirements of the new distribution network in various application scenarios and various energy distributions.

[0237] In an optional embodiment, as Figure 3 shown, the data transmission interface includes a first type of data transmission interface and a second type of data transmission interface. The specific manner for the acquisition module 301 to acquire the multi-source heterogeneous data corresponding to the new distribution network based on the data transmission interface corresponding to the data access layer and the message middleware corresponding to the data access layer can include:

[0238] Based on the first type of data transmission interface, the first communication protocol adopted by the first type of data transmission interface, the data access protocol corresponding to the data access layer, and the communication specification corresponding to the data access layer, the dynamic data in one or more dynamic monitoring systems corresponding to the new distribution network is collected into the data pre - system corresponding to the intelligent perception diagnosis platform, where the dynamic monitoring system includes any monitoring system connected to the intelligent perception diagnosis platform; and based on the message middleware between the central database of the intelligent perception diagnosis platform and the data pre - system and the producer - consumer mode of the message middleware, the dynamic data is extracted from the data pre - system to the central database according to the data collection time of the dynamic data, obtaining the multi - source heterogeneous data corresponding to the new distribution network; and / or,

[0239] Based on the second type of data transmission interface, the second communication protocol adopted by the second type of data transmission interface, and the data extension access method matched by the data access layer, the static data in one or more static data sources corresponding to the new distribution network is extracted to the central database of the intelligent perception diagnosis platform, obtaining the multi - source heterogeneous data corresponding to the new distribution network.

[0240] It can be seen that implementing Figure 3 the described device can also collect dynamic data and static data through the data transmission interface and the message middleware, thereby improving the integration and collection efficiency of the dynamic data and static data corresponding to the intelligent perception diagnosis platform, and further improving the comprehensiveness and efficiency of the data analysis of the new distribution network, which is beneficial to improving the efficiency and accuracy of the risk and fault detection of the new distribution network.

[0241] In another alternative embodiment, as Figure 3 shown, the dynamic data may include one or more of the integrated production system data, dispatching automation system data, geographic system data, distribution automation system data, metering automation system data, meteorological environment system data, intelligent perception terminal data, and intelligent gateway data corresponding to the new distribution network;

[0242] The static data may include one or more of the asset ledger data, fault operation data, and defect data corresponding to the new distribution network.

[0243] It can be seen that implementing Figure 3 the described device can also realize the unified management of the distribution - related data corresponding to multiple systems, improving the comprehensiveness, accuracy, and efficiency of the collection of multi - source heterogeneous data.

[0244] In yet another alternative embodiment, as Figure 3 shown, the specific manner in which the analysis module 303 analyzes the multi - source heterogeneous data based on the intelligent perception diagnosis model in the service and business layer to obtain the intelligent perception diagnosis data corresponding to the new distribution network may include:

[0245] Determine the target container corresponding to the intelligent perception diagnosis model in the application container engine of the intelligent perception diagnosis platform;

[0246] Based on the unified model service interface between the business and service layer and the application container engine, call the intelligent perception diagnosis model in the target container so that the business and service layer can obtain the usage permission of the intelligent perception diagnosis model;

[0247] Based on one or more of the model type of the intelligent perception diagnosis model, the perception diagnosis service type, and the interface type of the unified model service interface, determine whether the multi-source heterogeneous data to be analyzed meets the data twin condition;

[0248] When the judgment result is yes, based on the third type of data transmission interface between the data access layer and the data twin engine corresponding to the new distribution network, input the multi-source heterogeneous data into the data twin engine to obtain the twin data corresponding to the multi-source heterogeneous data output by the data twin engine;

[0249] Update the multi-source heterogeneous data and the twin data to the multi-source heterogeneous data;

[0250] Analyze the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new distribution network;

[0251] Among them, the intelligent perception diagnosis model includes one or more of an operation perception and risk active defense model, a fault diagnosis and location model, and a complex situation deduction model.

[0252] It can be seen that the device described in Figure 3 can also call the intelligent perception diagnosis models in multiple containers of the application container engine through the unified model service interface, which is beneficial to improving the efficiency and accuracy of model calls, and is beneficial to realizing the unified management and control of the intelligent perception diagnosis model, improving the efficiency and reliability of model management and control. Moreover, by using multiple intelligent perception diagnosis models to analyze the multi-source heterogeneous data, the diversity and comprehensiveness of the perception diagnosis results of the intelligent perception diagnosis model are improved, meeting the risk and troubleshooting requirements of the new distribution network in multiple application scenarios and multiple energy distributions, and improving the safety and reliability of the new distribution network.

[0253] In another alternative embodiment, as Figure 3 shown, when the intelligent perception diagnosis model includes an operation perception and risk active defense model, the specific way for the analysis module 303 to analyze the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new distribution network may include:

[0254] Analyze the system data corresponding to the primary system of the new distribution network in multi-source heterogeneous data based on the operation perception and risk active defense model to obtain the operation risk data corresponding to the primary system, where the primary system is used for at least one of the power supply, power distribution, power transmission, and power transformation work of the new distribution network;

[0255] Analyze the monitoring data of the secondary system of the new distribution network for the primary system in the operation risk data and multi-source heterogeneous data based on the operation perception and risk active defense model to obtain the comparison result of the operation risk data and the monitoring data as the logical verification data corresponding to the secondary system, where the secondary system is used to monitor at least one of the power supply, power distribution, power transmission, and power transformation work of the primary system;

[0256] Analyze the operation risk data and / or logical verification data based on the operation perception and risk active defense model to obtain the multi-dimensional risk index data corresponding to the new distribution network;

[0257] According to the multi-dimensional risk index data, determine the weak point information of the new distribution network and the early warning information corresponding to the weak point information as the intelligent perception diagnosis data corresponding to the new distribution network.

[0258] It can be seen that implementing Figure 3 The described device can also detect the operation risk data of the primary system of the new distribution network and the logical verification data of the secondary system of the new distribution network, and thus obtain multi-dimensional risk index data to determine the weak point information of the new distribution network, improving the comprehensiveness and accuracy of the perception of the risk data of the new distribution network, reducing the operation risk caused by the inability of the secondary system to accurately monitor the operation data of the primary system, and improving the safety and reliability of the new distribution network.

[0259] In another optional embodiment, as Figure 3 shown, when the intelligent perception diagnosis model includes a fault diagnosis and location model, the specific way for the analysis module 303 to analyze the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new distribution network may include:

[0260] Based on the fault diagnosis and location model, determine whether there is a real-time fault waveform in the operation waveform corresponding to the new distribution network in the multi-source heterogeneous data that matches the fault waveform extraction factor of the fault diagnosis and location model;

[0261] When it is determined that there is a real-time fault waveform in the operation waveform, determine the fault location information corresponding to the real-time fault waveform based on the fault diagnosis and location model;

[0262] According to the waveform change trend and fault location information corresponding to the real-time fault waveform, determine the real-time spatio-temporal domain fault and / or predicted spatio-temporal domain fault of the new type distribution network as the spatio-temporal domain fault of the new type distribution network. The spatio-temporal domain fault may include the time domain fault corresponding to the new type distribution network and / or the spatial domain fault corresponding to the new type distribution network.

[0263] Determine at least one of the real-time fault waveform, fault location information, and spatio-temporal domain fault as the intelligent perception diagnosis data corresponding to the new type distribution network.

[0264] It can be seen that implementing Figure 3 the described device can also identify and locate the abnormal operation waveform of the new type distribution network, and thereby determine the spatio-temporal domain fault of the new type distribution network, which is beneficial to improving the comprehensiveness of the fault diagnosis of the new type distribution network, and thus beneficial for the management personnel to eliminate the fault in a timely manner according to the fault information, and improve the safety and reliability of the new type distribution network.

[0265] In another optional embodiment, as Figure 3 shown, the specific manner in which the analysis module 303 determines the real-time spatio-temporal domain fault and / or predicted spatio-temporal domain fault of the new type distribution network as the spatio-temporal domain fault of the new type distribution network according to the waveform change trend and fault location information corresponding to the real-time fault waveform may include:

[0266] Determine the real-time fault information corresponding to the real-time fault waveform according to the waveform change trend corresponding to the real-time fault waveform;

[0267] Determine the real-time spatio-temporal domain fault of the new type distribution network according to the real-time fault information and fault location information;

[0268] Determine the adjacent waveform in front of the real-time fault waveform as the prediction extraction factor corresponding to the fault type of the real-time fault waveform according to the waveform change trend, wherein the waveform length of the adjacent waveform in front is the length determined to match the real-time fault waveform;

[0269] Judge whether there is a predicted fault waveform in the operation waveform that matches the prediction extraction factor;

[0270] When it is judged that there is a predicted fault waveform in the operation waveform, judge whether the predicted fault waveform overlaps with the adjacent waveform in front;

[0271] When it is judged that the predicted fault waveform does not overlap with the adjacent waveform in front, determine the predicted fault location information corresponding to the predicted fault waveform based on the fault diagnosis and location model, and determine the predicted spatio-temporal domain fault of the new type distribution network according to the predicted waveform change trend and predicted fault location information corresponding to the predicted fault waveform;

[0272] Determine the real-time spatio-temporal domain fault and / or predicted spatio-temporal domain fault as the spatio-temporal domain fault corresponding to the new type distribution network.

[0273] It can be seen that implementing Figure 3 the described device can also predict possible faults in the new distribution network based on the waveform change trend of the existing fault waveforms, so that the management personnel can adjust the working parameters of the new distribution network in time and eliminate potential fault hazards, reduce the distribution network losses caused by potential fault hazards, and further improve the safety and reliability of the new distribution network.

[0274] In another optional embodiment, as Figure 3 shown, when the intelligent perception diagnosis model includes a complex situation deduction model, the specific manner in which the analysis module 303 analyzes multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new distribution network may include:

[0275] Extracting the situation element data of the new distribution network in the multi-source heterogeneous data based on the situation element factors in the complex situation deduction model, and the situation element data may include historical situation element data and / or real-time situation element data;

[0276] Embedding the situation element data into the corresponding position in the deduction framework of the complex situation deduction model;

[0277] Analyzing the situation element data based on the complex situation deduction model and the deduction framework to obtain the situation deduction data of the new distribution network in the predicted operation scenario as the intelligent perception diagnosis data corresponding to the new distribution network.

[0278] It can be seen that implementing Figure 3 the described device can also generate simulation service data based on the existing situation element data, and thereby predict the situation deduction data of the new distribution network in the future operation scenario, which is beneficial to improving the development success rate of the new distribution network in the unknown operation scenario, reducing the trial-and-error cost in the development process of the new distribution network, and is beneficial to enriching the functions of the intelligent perception diagnosis platform.

[0279] In another optional embodiment, as Figure 4 shown, the determination module 302 is further configured to determine at least one display window in the target application and the perception diagnosis data display page of the target application that match the perception diagnosis service type in the application display layer after transmitting the intelligent perception diagnosis data from the service and service layer to the application display layer, and determine the to-be-displayed data that matches each display window according to the intelligent perception diagnosis data;

[0280] The device may further include:

[0281] An embedding module 304, configured to embed the to-be-displayed data that matches each display window into the display window to obtain a visual window corresponding to the display window;

[0282] A page generation module 305 is configured to generate a visual display page of intelligent perception diagnosis data based on the visual windows corresponding to each display window. The visual display page is used to display the intelligent perception diagnosis data to the users of the intelligent perception diagnosis platform.

[0283] Wherein, each display window may include a first display window or a second display window. The specific way to embed the data to be displayed matched with each display window into the display window by the embedding module 304 to obtain the visual window corresponding to the display window may include:

[0284] When there is at least one first display window among all the display windows, for each first display window, embed the data to be displayed matched with the first display window into the corresponding distribution position of the first display window to obtain the visual window corresponding to the first display window.

[0285] When there is at least one second display window among all the display windows, for each second display window, embed the geographic map data corresponding to the data to be displayed matched with the second display window in the multi-source heterogeneous data into the geographic layer of the second display window to obtain the base window corresponding to the second display window, and embed the data to be displayed matched with the second display window into the corresponding distribution position of the base window to obtain the visual window corresponding to the second display window.

[0286] It can be seen that implementing Figure 4 the described device can also generate a visual page according to the intelligent perception diagnosis data, which is beneficial to the convenience for managers to view the intelligent perception diagnosis data, the richness and visualization degree of the viewed data content. In addition, adopting different visualization methods for different data types is beneficial to further improving the visualization degree of the data content and enhancing the user experience.

[0287] Embodiment 4

[0288] Please refer to Figure 5 , Figure 5 which is a schematic structural diagram of another new type of intelligent perception diagnosis platform interface interaction device for a distribution network disclosed in the embodiments of the present invention. As Figure 5 shown, the new type of intelligent perception diagnosis platform interface interaction device for a distribution network may include:

[0289] A memory 401 storing executable program code;

[0290] A processor 402 coupled to the memory 401;

[0291] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the method for the intelligent perception diagnosis platform interface interaction of the new type of distribution network described in Embodiment 1 or Embodiment 2 of the present invention.

[0292] Example 5

[0293] An embodiment of the present invention discloses a computer storage medium storing computer instructions, which when invoked are used to execute the steps in the intelligent perception diagnosis platform interface interaction method of the new type of distribution network described in Embodiment 1 or Embodiment 2 of the present invention.

[0294] Example 6

[0295] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the steps in the intelligent perception diagnosis platform interface interaction method of the new type of distribution network described in Embodiment 1 or Embodiment 2.

[0296] The device embodiments described above are only illustrative. The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.

[0297] Through the specific descriptions of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, and the storage medium includes read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc memories, magnetic disk memories, tape memories, or any other computer-readable medium that can be used to carry or store data.

[0298] Finally, it should be noted that: what is disclosed in the intelligent perception and diagnosis platform interface interaction method and device of a new type of distribution network disclosed in the embodiments of the present invention is only the preferred embodiments of the present invention, and is only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent perception diagnosis platform interface interaction method for a new type of distribution network, characterized in that, The method is applied to an intelligent perception diagnosis platform for a new type of distribution network. The intelligent perception diagnosis platform includes a data access layer, a service and application layer, and an application display layer. The method includes: Collecting multi-source heterogeneous data corresponding to the new type of distribution network based on a data transmission interface corresponding to the data access layer and a message middleware corresponding to the data access layer; Determining an intelligent perception diagnosis model in the intelligent perception diagnosis platform that matches the multi-source heterogeneous data according to the current perception diagnosis service type matched by the new type of distribution network; Analyzing the multi-source heterogeneous data based on the intelligent perception diagnosis model in the service and application layer to obtain intelligent perception diagnosis data corresponding to the new type of distribution network. The intelligent perception diagnosis data is used to be output to the application display layer, so that the application display layer displays the intelligent perception diagnosis data to a target person corresponding to the new type of distribution network and performs a maintenance operation corresponding to the perception diagnosis service type; And, the analyzing the multi-source heterogeneous data based on the intelligent perception diagnosis model in the service and application layer to obtain intelligent perception diagnosis data corresponding to the new type of distribution network includes: Determining a target container corresponding to the intelligent perception diagnosis model in an application container engine of the intelligent perception diagnosis platform; Invoking the intelligent perception diagnosis model in the target container based on a unified model service interface between the service and application layer and the application container engine, so that the service and application layer obtains the usage right of the intelligent perception diagnosis model; Judging whether the multi-source heterogeneous data to be analyzed meets the data twin condition based on one or more of the model type of the intelligent perception diagnosis model, the perception diagnosis service type, and the interface type of the unified model service interface; When the judgment result is yes, inputting the multi-source heterogeneous data into a data twin engine based on a third type of data transmission interface between the data access layer and the data twin engine corresponding to the new type of distribution network, and obtaining twin data corresponding to the multi-source heterogeneous data output by the data twin engine; Updating the multi-source heterogeneous data and the twin data to be the multi-source heterogeneous data; Analyzing the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain intelligent perception diagnosis data corresponding to the new type of distribution network; Wherein, the intelligent perception diagnosis model includes one or more of an operation perception and risk active defense model, a fault diagnosis and location model, and a complex situation deduction model; And, when the intelligent perception diagnosis model includes the operation perception and risk active defense model, the analyzing the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain intelligent perception diagnosis data corresponding to the new type of distribution network includes: Analyzing system data corresponding to a primary system of the new type of distribution network in the multi-source heterogeneous data based on the operation perception and risk active defense model to obtain operation risk data corresponding to the primary system, wherein the primary system is used for at least one of power supply, power distribution, power transmission, and power transformation work of the new type of distribution network; Analyze the monitoring data of the secondary system of the new distribution network for the primary system in the operation risk data and the multi-source heterogeneous data based on the operation perception and risk active defense model, and obtain the comparison result of the operation risk data and the monitoring data as the logical verification data corresponding to the secondary system, where the secondary system is used to monitor at least one of the power supply, power distribution, power transmission, and substation work of the primary system; Analyze the operation risk data and / or the logical verification data based on the operation perception and risk active defense model to obtain the multi-dimensional risk index data corresponding to the new distribution network; Determine the weak point information of the new distribution network and the early warning information corresponding to the weak point information based on the multi-dimensional risk index data as the intelligent perception diagnosis data corresponding to the new distribution network.

2. The intelligent perception diagnosis platform interface interaction method for the new type of distribution network according to claim 1, wherein The data transmission interface includes a first type of data transmission interface and a second type of data transmission interface. Collect the multi-source heterogeneous data corresponding to the new distribution network based on the data transmission interface corresponding to the data access layer and the message middleware corresponding to the data access layer, including: Based on the first type of data transmission interface, the first communication protocol used by the first type of data transmission interface, the data access protocol corresponding to the data access layer, and the communication specification corresponding to the data access layer, collect the dynamic data in one or more dynamic monitoring systems corresponding to the new distribution network into the data preprocessing system corresponding to the intelligent perception diagnosis platform, where the dynamic monitoring system includes any monitoring system connected to the intelligent perception diagnosis platform; and based on the message middleware between the central database of the intelligent perception diagnosis platform and the data preprocessing system and the producer-consumer mode of the message middleware, extract the dynamic data from the data preprocessing system to the central database according to the data collection time of the dynamic data to obtain the multi-source heterogeneous data corresponding to the new distribution network; and / or, Based on the second type of data transmission interface, the second communication protocol used by the second type of data transmission interface, and the data extension access method matched by the data access layer, extract the static data in one or more static data sources corresponding to the new distribution network to the central database of the intelligent perception diagnosis platform to obtain the multi-source heterogeneous data corresponding to the new distribution network.

3. The intelligent perception diagnosis platform interface interaction method for the new type of distribution network according to claim 2, characterized in that, The dynamic data includes one or more of the integrated production system data, dispatching automation system data, geographic system data, distribution automation system data, metering automation system data, meteorological environment system data, intelligent perception terminal data, and intelligent gateway data corresponding to the new distribution network; The static data includes one or more of the asset ledger data, fault operation data, and defect data corresponding to the new distribution network.

4. The intelligent perception diagnosis platform interface interaction method of the novel distribution network according to claim 1, characterized in that, When the intelligent perception diagnosis model includes the fault diagnosis and location model, analyzing the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new distribution network includes: Based on the fault diagnosis and location model, determine whether there is a real-time fault waveform in the multi-source heterogeneous data that matches the fault waveform extraction factor of the fault diagnosis and location model for the new type of distribution network; When it is determined that there is the real-time fault waveform in the operation waveform, determine the fault location information corresponding to the real-time fault waveform based on the fault diagnosis and location model; According to the waveform change trend corresponding to the real-time fault waveform and the fault location information, determine the real-time spatio-temporal domain fault and / or the predicted spatio-temporal domain fault of the new type of distribution network as the spatio-temporal domain fault of the new type of distribution network, where the spatio-temporal domain fault includes the time-domain fault corresponding to the new type of distribution network and / or the space-domain fault corresponding to the new type of distribution network; Determine at least one of the real-time fault waveform, the fault location information, and the spatio-temporal domain fault as the intelligent perception diagnosis data corresponding to the new type of distribution network.

5. The intelligent perception and diagnosis platform interface interaction method for the new type of distribution network according to claim 4, characterized in that, The determining the real-time spatio-temporal domain fault and / or the predicted spatio-temporal domain fault of the new type of distribution network as the spatio-temporal domain fault of the new type of distribution network according to the waveform change trend corresponding to the real-time fault waveform and the fault location information includes: Determine the real-time fault information corresponding to the real-time fault waveform according to the waveform change trend corresponding to the real-time fault waveform; Determine the real-time spatio-temporal domain fault of the new type of distribution network according to the real-time fault information and the fault location information; According to the waveform change trend, determine the adjacent waveform in front of the real-time fault waveform as the prediction extraction factor corresponding to the fault type of the real-time fault waveform, where the waveform length of the adjacent waveform in front is the determined length that matches the real-time fault waveform; Judge whether there is a predicted fault waveform in the operation waveform that matches the prediction extraction factor; When it is determined that there is the predicted fault waveform in the operation waveform, judge whether the predicted fault waveform overlaps with the adjacent waveform in front; When it is determined that the predicted fault waveform does not overlap with the adjacent waveform in front, determine the predicted fault location information corresponding to the predicted fault waveform based on the fault diagnosis and location model, and determine the predicted spatio-temporal domain fault of the new type of distribution network according to the predicted waveform change trend corresponding to the predicted fault waveform and the predicted fault location information; Determine the real-time spatio-temporal domain fault and / or the predicted spatio-temporal domain fault as the spatio-temporal domain fault corresponding to the new type of distribution network.

6. The intelligent perception diagnosis platform interface interaction method of the new type distribution network according to claim 1, characterized in that When the intelligent perception diagnosis model includes the complex situation deduction model, the analyzing the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new type of distribution network includes: Extract the situation element data of the new type of distribution network in the multi-source heterogeneous data based on the situation element factor in the complex situation deduction model, where the situation element data includes historical situation element data and / or real-time situation element data; Embed the situation element data into the corresponding position in the deduction framework of the complex situation deduction model; Based on the complex situation deduction model and the deduction framework, analyze the situation element data to obtain the situation deduction data of the new distribution network in the predicted operation scenario, which is used as the intelligent perception diagnosis data corresponding to the new distribution network.

7. The intelligent perception diagnosis platform interface interaction method for the new type of distribution network according to any one of claims 1, 2, 3, 4, 5, and 6, characterized in that, The method further includes: After transmitting the intelligent perception diagnosis data from the service and service layer to the application display layer, determine at least one display window in the target application in the application display layer that matches the perception diagnosis service type and the perception diagnosis data display page of the target application; According to the intelligent perception diagnosis data, determine the to-be-displayed data that matches each display window; Embed the to-be-displayed data that matches each display window into the display window to obtain a visualization window corresponding to the display window; Based on the visualization window corresponding to each display window, generate a visualization display page of the intelligent perception diagnosis data, and the visualization display page is used to display the intelligent perception diagnosis data to the users of the intelligent perception diagnosis platform; Among them, each display window includes a first display window or a second display window, and the step of embedding the to-be-displayed data that matches each display window into the display window to obtain a visualization window corresponding to the display window includes: When at least one of the first display windows is included in all the display windows, for each first display window, embed the to-be-displayed data that matches the first display window into the corresponding distribution position of the first display window to obtain a visualization window corresponding to the first display window; When at least one of the second display windows is included in all the display windows, for each second display window, embed the geographic map data corresponding to the to-be-displayed data that matches the second display window in the multi-source heterogeneous data into the geographic layer of the second display window to obtain a base window corresponding to the second display window, and embed the to-be-displayed data that matches the second display window into the corresponding distribution position of the base window to obtain a visualization window corresponding to the second display window.

8. An intelligent perception diagnosis platform interface interaction device for a new type of distribution network, characterized in that, The device is applied to the intelligent perception diagnosis platform of the new distribution network. The intelligent perception diagnosis platform includes a data access layer, a service and service layer, and an application display layer. The device includes: An acquisition module, configured to acquire the multi-source heterogeneous data corresponding to the new distribution network based on the data transmission interface corresponding to the data access layer and the message middleware corresponding to the data access layer; A determination module, configured to determine an intelligent perception diagnosis model in the intelligent perception diagnosis platform that matches the multi-source heterogeneous data according to the perception diagnosis service type currently matched by the new distribution network; An analysis module, configured to analyze the multi-source heterogeneous data based on the intelligent perception diagnosis model in the service and service layer to obtain the intelligent perception diagnosis data corresponding to the new distribution network. The intelligent perception diagnosis data is used to be output to the application display layer so that the application display layer can display the intelligent perception diagnosis data to the target personnel corresponding to the new distribution network and perform maintenance operations corresponding to the perception diagnosis service type; Moreover, the specific manner in which the analysis module analyzes the multi-source heterogeneous data based on the intelligent perception diagnosis model in the service and business layer to obtain the intelligent perception diagnosis data corresponding to the new type of distribution network includes: Determine the target container corresponding to the intelligent perception diagnosis model in the application container engine of the intelligent perception diagnosis platform; Based on the unified model service interface between the service and business layer and the application container engine, call the intelligent perception diagnosis model in the target container so that the service and business layer obtains the usage permission of the intelligent perception diagnosis model; Based on one or more of the model type of the intelligent perception diagnosis model, the perception diagnosis service type, and the interface type of the unified model service interface, determine whether the multi-source heterogeneous data to be analyzed meets the data twin condition; When the judgment result is yes, based on the third type of data transmission interface between the data access layer and the data twin engine corresponding to the new type of distribution network, input the multi-source heterogeneous data into the data twin engine to obtain the twin data corresponding to the multi-source heterogeneous data output by the data twin engine; Update the multi-source heterogeneous data and the twin data to the multi-source heterogeneous data; Analyze the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new type of distribution network; Wherein, the intelligent perception diagnosis model includes one or more of an operation perception and risk active defense model, a fault diagnosis and location model, and a complex situation deduction model; Moreover, when the intelligent perception diagnosis model includes the operation perception and risk active defense model, the specific manner in which the analysis module analyzes the multi-source heterogeneous data based on the intelligent perception diagnosis model to obtain the intelligent perception diagnosis data corresponding to the new type of distribution network includes: Analyze the system data corresponding to the primary system of the new type of distribution network in the multi-source heterogeneous data based on the operation perception and risk active defense model to obtain the operation risk data corresponding to the primary system, wherein the primary system is used for at least one of the power supply, power distribution, power transmission, and power transformation work of the new type of distribution network; Analyze the comparison result between the operation risk data and the monitoring data of the secondary system of the new type of distribution network for the primary system in the operation risk data and the multi-source heterogeneous data based on the operation perception and risk active defense model, and use the result as the logical verification data corresponding to the secondary system, wherein the secondary system is used to monitor at least one of the power supply, power distribution, power transmission, and power transformation work of the primary system; Analyze the operation risk data and / or the logical verification data based on the operation perception and risk active defense model to obtain the multi-dimensional risk index data corresponding to the new type of distribution network; According to the multi-dimensional risk index data, determine the weak point information of the new type of distribution network and the warning information corresponding to the weak point information as the intelligent perception diagnosis data corresponding to the new type of distribution network.

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